Making sense of our connected world
Exploiting potentials: Teaching AI Systems to See Accessibility Barriers
Barriers in our physical environment are still widespread. While AI systems could eventually support detecting them, it first needs open training data. Here we provide a dataset for detecting steps and stairs.
Explaining AI – How to explain the unexplainable?
Complex automated decision making systems have become ubiquitous in our everyday lives. Should we even care to understand how AI-based decisions are made?
Civil Society and AI: Striving for ethical governance
Civil society participation is key to ensure an ethical and equitable AI. But what are the challenges facing societal actors who want to actively engage in governance processes?
Using AI for social good in entrepreneurship: promises & perils
We show how entrepreneurs are using AI for social good and shed light on some of their challenges. What are promises and perils of social entrepreneurship?
Why explainable AI needs such a thing as Society
Explainable AI (XAI) frameworks focus strongly on individual interests, while a societal perspective falls short. The solution? An incorporation of collective interests in target group specific communication.
Deep fakes: the uncanniest variation of manipulated media content so far
Deep fakes are certainly not the first occurrence of manipulated media content. So what fuels this extraordinary feeling of uncanniness we associate with them?
Governing AI: Political players between vision and regulation
Not only tech giants in Silicon Valley influence the development of artificial intelligence (AI): supranational political institutions, states and parties are also active leaders and regulators. They set legal standards, formulate strategies for the future, explore potentials and dangers, promote and sanction or even adopt controversial positions. How do political actors position themselves in the AI debate between economic interest, ethical controversies and the common good? Where do their strategies differ? Is politics here more of a driver or a driven force?
Algorithmic decisions and human rights
Who is responsible if an autonomous vehicle is involved in an accident? What are the consequences of automated profiling of the unemployed? How intelligent is our use of artificial intelligence, and what visions and strategies do we need for the future? Innovations in the field of artificial intelligence are impacting nearly every area of our everyday life. However, algorithmic decision-making leads to complex human rights implications. In this dossier researchers of the Humboldt Institute for Internet and Society and the NoC European Hub discuss the role of law and ethics in the context of algorithmic decision-making.
